Epitope specificity and significance in systemic autoimmune diseases
Bibliographic record
Abstract
Autoimmune diseases are characterized by self-reactive immune processes mediated by B and T cells. These disorders exhibit a spectrum of clinical features that range from local or organ specific to systemic diseases. Although a variety of putative mechanisms that trigger the loss of tolerance and thus the genesis of autoimmunity have been identified, for the most part the precise mechanisms remain elusive. Nevertheless, it is widely appreciated that autoantibodies are useful both in the diagnosis of autoimmune disorders and as molecular biological tools to study cellular processes in which the target antigens are involved. Several methods and technologies, including protein fragments, synthetic peptides, phage display, or structural analyses have been developed for the characterization of the specificity of the autoimmune reactions. The present review provides an overview of the autoantibody epitopes in systemic autoimmune diseases as they relate to the clinical relevance and applications of certain autoepitopes and the technologies that are used to classify and identify them.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".